EXTON, PA — Bentley Systems, Incorporated (Nasdaq: BSY) announced that the Alabama Department of Transportation is deploying artificial intelligence to transform how it funds and maintains more than 11,000 miles of roadway across the state.
The agency is integrating Bentley’s Blyncsy solution into its long-standing performance-based budgeting model, sharpening how it allocates highway maintenance dollars through automated, data-driven analysis.
ALDOT adopted performance-based budgeting more than 15 years ago, directing resources based on objective measures rather than historical spending patterns. But gathering accurate condition data across a vast statewide network has traditionally required significant manual inspections — a time-consuming and resource-intensive process prone to inconsistencies.
Bentley’s Blyncsy platform aims to change that.
Part of Bentley’s Asset Analytics portfolio, Blyncsy uses crowdsourced high-resolution dash camera imagery captured from vehicles traveling roadways. Its AI models automatically analyze that imagery to assess roadway assets, including guardrails and signage, delivering consistent condition reports across the network.
A prior pilot project found Blyncsy’s AI models achieved 97% accuracy, providing ALDOT with what officials describe as a reliable data foundation for more precise financial planning.
“To strengthen our performance-based budgeting, we need consistent, quantified data to produce condition assessments across all districts,” said Morgan Musick, Assistant Maintenance Management Engineer at ALDOT. “Bentley’s Blyncsy solution helps us enhance our existing statewide survey by automating certain asset inspections. This technology helps to give us an objective snapshot of our roadway network, enabling us to adjust budgets based on actual asset conditions and ensure funding goes to appropriate maintenance activities in order to better reach a target Level of Service for each asset.”
By embedding AI analytics into its budgeting workflow, ALDOT can now generate faster, more uniform evaluations of designated roadway assets, reducing reliance on labor-intensive field inspections while maintaining empirical rigor.
Mark Pittman, senior director of Transportation AI at Bentley Systems, said the initiative reflects a broader shift in infrastructure management.
“The future of infrastructure asset management depends on making financial decisions based on empirical evidence rather than historical precedent,” Pittman said. “By integrating AI-powered asset inspection into its performance-based budgeting process, ALDOT is setting a new standard for data-driven infrastructure planning.”
Bentley said the move demonstrates how transportation agencies are increasingly pairing artificial intelligence with established financial models to enhance accountability, optimize maintenance spending, and improve service levels across large, complex infrastructure systems.
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